{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from bokeh.charts import TimeSeries\n",
    "from bokeh.io import output_notebook, show\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# read in some stock data from the Yahoo Finance API\n",
    "AAPL = pd.read_csv(\n",
    "    \"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2010\",\n",
    "    parse_dates=['Date'])\n",
    "MSFT = pd.read_csv(\n",
    "    \"http://ichart.yahoo.com/table.csv?s=MSFT&a=0&b=1&c=2000&d=0&e=1&f=2010\",\n",
    "    parse_dates=['Date'])\n",
    "IBM = pd.read_csv(\n",
    "    \"http://ichart.yahoo.com/table.csv?s=IBM&a=0&b=1&c=2000&d=0&e=1&f=2010\",\n",
    "    parse_dates=['Date'])\n",
    "\n",
    "data = dict(\n",
    "    AAPL=AAPL['Adj Close'],\n",
    "    Date=AAPL['Date'],\n",
    "    MSFT=MSFT['Adj Close'],\n",
    "    IBM=IBM['Adj Close'],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ts = TimeSeries(\n",
    "    data, x='Date', title=\"timeseries, dict input\", \n",
    "    legend='top_left', ylabel='Stock Prices')\n",
    "show(ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data)\n",
    "ts = TimeSeries(\n",
    "    df, x='Date', title=\"timeseries, pandas input\", \n",
    "    legend='top_left', ylabel='Stock Prices')\n",
    "show(ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
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